David Filliat
Orcid: 0000-0002-5739-1618
According to our database1,
David Filliat
authored at least 111 papers
between 1999 and 2024.
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Bibliography
2024
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Open the Chests: An Environment for Activity Recognition and Sequential Decision Problems Using Temporal Logic.
Proceedings of the 31st International Symposium on Temporal Representation and Reasoning, 2024
A probabilistic approach for learning and adapting shared control skills with the human in the loop.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Trans. Mach. Learn. Res., 2023
Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Navigation Among Movable Obstacles Using Machine Learning Based Total Time Cost Optimization.
IROS, 2023
Proceedings of the Conference on Lifelong Learning Agents, 2023
2022
EXplainable Neural-Symbolic Learning (<i>X-NeSyL</i>) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case.
Inf. Fusion, 2022
MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks.
CoRR, 2022
Proceedings of the 19th International Conference on Informatics in Control, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Are standard Object Segmentation models sufficient for Learning Affordance Segmentation?
CoRR, 2021
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences.
CoRR, 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case.
CoRR, 2021
Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay.
Proceedings of the International Joint Conference on Neural Networks, 2021
Iterative Learning for Model Reactive Control: Application to Autonomous Multi-agent Control.
Proceedings of the 7th International Conference on Automation, Robotics and Applications, 2021
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
2020
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges.
Inf. Fusion, 2020
CoRR, 2020
Trajectory Prediction of Traffic Agents: Incorporating context into machine learning approaches.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020
2019
BioVision: A Biomimetics Platform for Intrinsically Motivated Visual Saliency Learning.
IEEE Trans. Cogn. Dev. Syst., 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer.
CoRR, 2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics.
CoRR, 2019
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Deep unsupervised state representation learning with robotic priors: a robustness analysis.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
2018
Comparison Studies on Active Cross-Situational Object-Word Learning Using Non-Negative Matrix Factorization and Latent Dirichlet Allocation.
IEEE Trans. Cogn. Dev. Syst., 2018
Frontiers Neurorobotics, 2018
CoRR, 2018
Continual State Representation Learning for Reinforcement Learning using Generative Replay.
CoRR, 2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning.
CoRR, 2018
CoRR, 2018
Generic Object Discrimination for Mobile Assistive Robots Using Projective Light Diffusion.
Proceedings of the 2018 IEEE Winter Applications of Computer Vision Workshops, 2018
Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach.
Proceedings of the 15th International Conference on Control, 2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
2017
Unsupervised state representation learning with robotic priors: a robustness benchmark.
CoRR, 2017
Real-time distributed receding horizon motion planning and control for mobile multi-robot dynamic systems.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
Multi range real-time depth inference from a monocular stabilized footage using a fully convolutional neural network.
Proceedings of the 2017 European Conference on Mobile Robots, 2017
"Look at this one" detection sharing between modality-independent classifiers for robotic discovery of people.
Proceedings of the 2017 European Conference on Mobile Robots, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017
2016
From passive to interactive object learning and recognition through self-identification on a humanoid robot.
Auton. Robots, 2016
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016
RL-IAC: An exploration policy for online saliency learning on an autonomous mobile robot.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016
An experimental comparison between NMF and LDA for active cross-situational object-word learning.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016
2015
Asynchronous Event-Based Multikernel Algorithm for High-Speed Visual Features Tracking.
IEEE Trans. Neural Networks Learn. Syst., 2015
J. Intell. Syst., 2015
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015
2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014
Unsupervised and online non-stationary obstacle discovery and modeling using a laser range finder.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014
Live demonstration: Neuromorphic event-based multi-kernel algorithm for high speed visual features tracking.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
Romeo2 Project: Humanoid Robot Assistant and Companion for Everyday Life: I. Situation Assessment for Social Intelligence.
Proceedings of the Second International Workshop on Artificial Intelligence and Cognition (AIC 2014), 2014
2013
IEEE Trans. Robotics, 2013
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013
A comparison of geometric and energy-based point cloud semantic segmentation methods.
Proceedings of the 2013 European Conference on Mobile Robots, 2013
2012
RGBD object recognition and visual texture classification for indoor semantic mapping.
Proceedings of the 2012 IEEE International Conference on Technologies for Practical Robot Applications, 2012
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Perception and human interaction for developmental learning of objects and affordances.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012
2011
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011
Qualitative Localization using Vision and Odometry for Path Following in Topo-metric Maps.
Proceedings of the 5<sup>th</sup> European Conference on Mobile Robots, 2011
Navigation, perception et apprentissage pour la robotique. (Navigation, perception and learning for robotics).
, 2011
2010
Combining Odometry and Visual Loop-Closure Detection for Consistent Topo-Metrical Mapping.
RAIRO Oper. Res., 2010
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2010
A study of three interfaces allowing non-expert users to teach new visual objects to a robot and their impact on learning efficiency.
Proceedings of the 5th ACM/IEEE International Conference on Human Robot Interaction, 2010
A Bag-of-features Framework for Incremental Learning of Speech Invariants in Unsegmented Audio Streams.
Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob 2010), 2010
2009
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009
An integrated system for teaching new visually grounded words to a robot for non-expert users using a mobile device.
Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009
2008
IEEE Trans. Robotics, 2008
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008
2007
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007
2005
Integration of Navigation and Action Selection Functionalities in a Computational Model of Cortico-Basal-Ganglia-Thalamo-Cortical Loops.
Adapt. Behav., 2005
2003
Map-based navigation in mobile robots: : II. A review of map-learning and path-planning strategies.
Cogn. Syst. Res., 2003
Cogn. Syst. Res., 2003
2001
PhD thesis, 2001
1999
Evolution of Neural Controllers for Locomotion and Obstacle Avoidance in a Six-legged Robot.
Connect. Sci., 1999